Libelium

10/10/2026

Detrás de cada dato hay una historia... y unos cuantos kilómetros de barro, sensores y café. ☕ Sensor por sensor, código a código, llevamos 20 años midiendo lo que pasa en el mundo real.

Pero hoy queríamos contaros algo importante: no solo ponemos la tecnología en el campo o en la fábrica, nos remangamos con vosotros para entender qué hacer con esos datos.

Esa combinación entre estar a pie de campo, nuestra plataforma iris360 e inteligencia artificial es lo que llamamos Physical AI... y para nosotros, la forma más honesta de hacer consultoría tecnológica. 💡🌱

Así es nuestro día a día haciendo que la sostenibilidad y la eficiencia funcionen de verdad.

07/10/2026

🚀 We are taking a key strategic step in our digital presence.
We present our new digital environment: a evolution designed to match our growth as a company, reflect our Consulting offer, and clearly communicate how we deliver value across the technology ecosystem.

Why this change?
🔹 Our portfolio has expanded, and we needed a digital space that clearly reflects it. We want anyone reaching us to instantly understand what challenges we solve, how our devices integrate with our platform, and the total value we bring to smart cities and industrial sectors.
🔹 End-to-end data journey: We want to accurately show the complete path—from physical-world measurement to actionable insights for decision-making. Everything is structured so visitors can quickly find what they need, whether it's a specific solution or a deep technical dive.

💡 Two complementary environments tailored to your needs:
🌐 Libelium: Focused on our global value proposition, consulting expertise, and industry-specific solutions. The starting point to identify how we address your challenges and start the conversation.
💻 iris360: Centered on our data platform, advanced features, and practical applications. The space to discover how we transform raw data into strategic intelligence for day-to-day management.
This new architecture enables us to connect more effectively with the market, generate better-aligned opportunities, and drive greater impact for our clients and partners.

We invite you to explore our new digital environment and see what we’ve built 👉 https://www.libelium.com/libeliumworld/libelium-from-iot-hardware-to-sustainability-consultancy/

Libelium, compañía referente en tecnología ambiental desde hace dos...

24/09/2026

Avanzamos en la protección de nuestras masas forestales mediante inteligencia de datos y tecnología satelital. 🌲🔥 🛰️

Nos complace anunciar que la Consejería de Medio Ambiente y Energía de la Junta de Castilla y León ha adjudicado a Libelium el desarrollo e implementación del nuevo sistema de detección y monitorización satelital de incendios forestales para el Centro de Defensa contra Incendios Forestales (CDF) de León.

Este proyecto, financiado por el Fondo para la Transición Justa de la Unión Europea (2021-2027), supone un paso firme hacia una gestión medioambiental más proactiva y preventiva.

💡 ¿Qué aporta esta solución?
- Monitorización en tiempo real: Integración de datos satelitales sobre entornos de Sistemas de Información Geográfica (SIG).
- Detección temprana: Reducción de los tiempos de respuesta ante posibles focos térmicos y emergencias climáticas.
- Inteligencia ambiental: Analítica avanzada para optimizar la toma de decisiones y proteger zonas de elevado valor ecológico.

Con este proyecto aportamos inteligencia accionable para que los centros de respuesta puedan proteger el territorio y sus comunidades de forma proactiva y eficiente.

Seguimos impulsando la datocracia y la transformación digital de la administración pública para construir un futuro más resiliente y sostenible. 🌍

20/09/2026

As extreme heat events become more frequent, European cities are leveraging data spaces to build cooler, healthier urban environments. Beat The Heat Phase II, funded under the EU European Data Space for Smart Communities DEP initiative, is officially scaling its cross-border impact!

Building on initial achievements in Cartagena (Spain), Naples, and Taranto (Italy), Phase II formally integrates the municipalities of Kalamata (Greece) and Codogno (Italy) into a shared data ecosystem focused on climate neutrality and mitigating the urban heat island effect.

As the lead partner of Phase II, the Municipality of Kalamata is spearheading real-world innovation by putting shared data into action:
🚶 Pedestrian Climate Resilience (EcoRoutes): Kalamata is deploying the EcoRoutes service, previously validated in Cartagena, to guide citizens and visitors along shaded corridors, targeting a reduction in heat exposure of over 1.5°C during daily commutes. The mobile app will also feature a "Heat Wave Mode" to deliver real-time emergency alerts.
🚴 Smart Bicycle Navigation (EasyRide): The city is introducing EasyRide, an intelligent routing engine for cyclists that dynamically integrates microclimate heat maps, traffic density, topography, and air quality metrics.
♻️ Interoperable Data Infrastructure: Kalamata is integrating 10 local atmospheric sensors and municipal datasets through an open FIWARE architecture and Eclipse Foundation's EDC connectors, demonstrating seamless data space federation for smart cities.

Led by a strong consortium including Libelium, Local AI, and Politecnico di Milano, BeatTheHeat Phase II demonstrates the technical feasibility and cost-effectiveness of pan-European data spaces for urban sustainability.

Together, we are converting real-time environmental data into actionable mobility solutions for safer, climate-resilient cities.
https://www.libelium.com/libeliumworld/three-tech-driven-approaches-to-beat-urban-heat-islands/

18/09/2026

En el marco de , Toni Pérez (alcalde de Ayuntamiento de Benidorm y John D. Babuack (B2G Sales Manager en Libelium ) compartieron las claves del despliegue del gemelo digital urbano de la ciudad, impulsado con la tecnología de iris360.

¿El objetivo principal? Optimizar la gestión de servicios públicos esenciales (como agua, limpieza y seguridad) tomando como referencia la población flotante real y no únicamente los datos del censo oficial. Mediante el análisis cruzado de datos de consumo e inteligencia artificial, la ciudad logra anticiparse a las necesidades de vecinos y visitantes en tiempo real.

Benidorm refuerza su liderazgo conectando su inteligencia de datos con la Plataforma Inteligente de Destinos de Segittur para generar un impacto positivo y tangible en la gestión municipal.

18/09/2026

⚡ As electric vehicle (EV) adoption accelerates, fire safety at charging stations has become a critical priority for infrastructure operators.
High-power charging stations operate under heavy electrical loads, presenting risks such as cable overheating and lithium-ion battery thermal runaway. Standard fire detection systems often trigger only after smoke or flames are already present—frequently too late to prevent major equipment damage or public safety hazards.

By combining IoT thermal monitoring with real-time alert mechanisms, operators can transition from reactive emergency response to proactive risk prevention.

Key Advantages of Smart Fire Detection
✅ Pre-emptive thermal sensing: Thermal sensors continuous monitor equipment temperatures to detect abnormal heat spikes long before visible smoke or flames emerge.
✅ Automated real-time alerts: Instant notifications enable station managers to execute automated power cut-offs and alert emergency services immediately.
✅ Network-wide oversight: Cloud-connected IoT platforms allow central management teams to monitor multiple charging sites across vast geographic areas 24/7.
✅ Asset & hazard protection: Early detection safeguards expensive charging hardware, adjacent vehicles, and surrounding infrastructure against catastrophic loss.

Building resilient, safe EV charging networks requires integrating intelligent sensing technology into standard infrastructure planning.

Discover how IoT-driven thermal monitoring is setting new safety standards for EV infrastructure in the full article:
https://www.libelium.com/libeliumworld/fire-detection-in-ev-charging-stations-thermal-monitoring-iot-and-real-time-alerts/

08/09/2026

The latest IoT Analytics report makes one thing clear on hashtag : the market is fragmented, and the real value lies not in the platform itself, but in the domain expertise and the results.

In the industry, there's a common distinction between those who capture the data (hashtag ) and those who perform the visual and predictive magic (Simulation/hashtag ). But when it comes to Smart Cities, Sustainability, and Infrastructure, this separation is a risk.

A digital twin fed with poor data will only simulate errors more rapidly.

At Libelium, we address this challenge by connecting the most critical elements of the technology stack mentioned in the report:

1️⃣ Physical Truth (Layers 1 and 2): We deploy the IoT foundation. If we don't measure air, water, or traffic with absolute precision, the twin is born blind.

5️⃣ Intelligence (Layer 5): We don't stop at the hardware. We apply Artificial Intelligence and simulation engines to this data to predict scenarios, optimize resources, and enable managers to make proactive decisions.

As the study rightly points out, "No single provider owns the entire ecosystem." We integrate with the best agnostically, but we guarantee that the journey from the physical sensor to the AI ​​prediction is conducted with the utmost rigor within our domain.

The goal isn't to have a pretty 3D model; it's to know what will happen tomorrow with air quality or water consumption in your city and how to prevent a crisis.

🔗 And you, where do you see the biggest challenge in implementing Digital Twins: obtaining reliable data or predictive simulation capabilities?

Spending on standalone digital twin software reached $1.3 billion in 2025, while spending on broader software that supplies digital twins ...

07/09/2026

🇪🇸 Un gigabyte de datos que requiere una base de datos activa ronda los 0,21 $/mes. Los proyectos dedicados a la doble transición, verde y digital, requieren de gigas y gigas de datos, por lo que el problema es evidente.

Y para ciudades de tamaño medio, esta barrera económica dificulta el avance tecnológico.

Para resolver este cuello de botella económico, iris360 incorpora el modelo ELT Medallion en su arquitectura de datos recudiendo costes asociados al almacenamiento de datos hasta los $0.023 al mes.

Mira cómo lo hemos aplicado para identificar la población flotante en Benidorm 👉 https://www.libelium.com/es/libeliumworld/arquitectura-etl-medallion-iris360-reduce-costes/

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🇬🇧 A gigabyte of data required by an active database costs around $0.21/month. Projects dedicated to the dual green and digital transition require gigabytes upon gigabytes of data, so the problem is clear.

And for medium-sized cities, this economic barrier hinders technological advancement.

To overcome this economic bottleneck, hashtag incorporates the hashtag model into its data architecture, reducing data storage costs to as low as $0.023 per month.

See how we've applied it to identify the transient population in Benidorm 👉

ELT Medallion architecture in iris360 optimizes data management for Smart Cities: it reduces costs, ensures High ENS cybersecurity, and enables data-driven public decision-making.

05/09/2026

Dr. Antonio J. Jara nos trae a la newsletter de Libelium un tema urgente e importante, esto es, un tema que tenemos que afrontar ya: los hashtag que están arrasando España.

Inspirado por la potencia de la constelación de satélites de BlackSky, hemos llevado nuestra plataforma hashtag a un nuevo estándar de hashtag , capaz de reducir de 3,5 horas a 18 minutos el tiempo de reacción ante un incendio.

Filtramos los datos satelitales, capaces de mapear territorios con precisión de centímetros, para tomar decisiones operativas sin colapsar a los equipos de emergencia.

Lee más en nuestra newsletter:

Autor: Antonio J. Jara, CTO de Libelium Fotografías cada 10 minutos a 35 cm de resolución.

04/09/2026

The latest IoT Analytics report makes one thing clear on hashtag : the market is fragmented, and the real value lies not in the platform itself, but in the domain expertise and the results.

In the industry, there's a common distinction between those who capture the data (hashtag ) and those who perform the visual and predictive magic (Simulation/hashtag ). But when it comes to Smart Cities, Sustainability, and Infrastructure, this separation is a risk.

A digital twin fed with poor data will only simulate errors more rapidly.

At Libelium, we address this challenge by connecting the most critical elements of the technology stack mentioned in the report:

1️⃣ Physical Truth (Layers 1 and 2): We deploy the IoT foundation. If we don't measure air, water, or traffic with absolute precision, the twin is born blind.

5️⃣ Intelligence (Layer 5): We don't stop at the hardware. We apply Artificial Intelligence and simulation engines to this data to predict scenarios, optimize resources, and enable managers to make proactive decisions.

As the study rightly points out, ""No single provider owns the entire ecosystem."" We integrate with the best agnostically, but we guarantee that the journey from the physical sensor to the AI ​​prediction is conducted with the utmost rigor within our domain.

The goal isn't to have a pretty 3D model; it's to know what will happen tomorrow with air quality or water consumption in your city and how to prevent a crisis.

🔗 And you, where do you see the biggest challenge in implementing Digital Twins: obtaining reliable data or predictive simulation capabilities?

Spending on standalone digital twin software reached $1.3 billion in 2025, while spending on broader software that supplies digital twins ...